Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …

The discipline of seismology is based on observations of ground motion that are inherently
undersampled in space and time. Our basic understanding of earthquake processes and our …

As one of the most earthquake-prone regions in the world, China faces extremely serious
earthquake threats, especially for those heavily populated urban areas located near large …

Rapid fault rupture information is important to estimate seismic ground motions and damage
in large earthquakes, and is, therefore, of great value for earthquake early warning (EEW) …

Online social networks (OSNs) have become a powerful tool to study collective human
responses to extreme events such as earthquakes. Most previous research concentrated on …

Public earthquake early warning systems have the potential to reduce individual risk by
warning people of approaching tremors, but their development has been hampered by …

To maximize the potential of earthquake early warning (EEW) as a credible tool for seismic
resilience promotion, it should be combined with next‐generation decision‐support tools …

China is currently building a nationwide earthquake early warning system (EEWS) which will
be completed in June 2023. Several regions have been selected as pilot areas for …

We propose a deep spatiotemporal recurrent neural network, DeepShake, to project future
shaking intensity directly from current ground‐motion observations. DeepShake is a network …

Abstract In October 2019, California became the first state in the United States to fully
activate a public earthquake early warning system—ShakeAlert®—managed by the US …